Vulnerability CVE-2020-15198


Published: 2020-09-25

Description:
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

Type:

CWE-119

(Improper Restriction of Operations within the Bounds of a Memory Buffer)

CVSS2 => (AV:N/AC:M/Au:N/C:P/I:P/A:N)

CVSS Base Score
Impact Subscore
Exploitability Subscore
5.8/10
4.9/10
8.6/10
Exploit range
Attack complexity
Authentication
Remote
Medium
No required
Confidentiality impact
Integrity impact
Availability impact
Partial
Partial
None
Affected software
Tensorflow -> Tensorflow 

 References:
https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jc87-6vpp-7ff3

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